Articles | Volume 18, issue 10
https://doi.org/10.5194/essd-18-7679-2026
https://doi.org/10.5194/essd-18-7679-2026
Data description article
 | 
26 Oct 2026
Data description article |  | 26 Oct 2026

RRBF-KMA: high-resolution radar–gauge merged precipitation dataset for South Korea (2016–2024)

Soorok Ryu, Joon Jin Song, Kyo Sun Lim, and GyuWon Lee

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Cited articles

Bellon, A., Lee, G. W., and Zawadzki, I.: Error statistics of VPR corrections in stratiform precipitation, J. Appl. Meteorol., 44, 998–1015, https://doi.org/10.1175/JAM2248.1, 2005. 
Berne, A. and Krajewski, W. F.: Radar for hydrology: Unfulfilled promise or unrecognized potential?, Adv. Water Resour., 51, 357–366, https://doi.org/10.1016/j.advwatres.2012.05.005, 2013. 
Buhmann, M. D.: Radial basis functions: Theory and implementations, Cambridge University Press, Cambridge, Adv. Water Resour.,2003. 
Ciach, G. J. and Krajewski, W. F.: Radar–rain gauge comparisons under observational uncertainties, J. Appl. Meteorol., 38, 1519–1525, https://doi.org/10.1175/1520-0450(1999)038<1519:RRGCUO>2.0.CO;2, 1999. 
El Hachem, A., Seidel, J., Imbery, F., Junghänel, T., and Bárdossy, A.: Technical Note: Space–time statistical quality control of extreme precipitation observations, Hydrol. Earth Syst. Sci., 26, 6137–6146, https://doi.org/10.5194/hess-26-6137-2022, 2022. 
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We developed a detailed rainfall dataset for South Korea by combining weather radar data with ground rain measurements. This dataset provides rainfall information every 10 min at a very fine spatial scale from 2016 to 2024. We created it to better understand rainfall patterns and improve applications such as flood forecasting and water management. By combining the strengths of both data sources, the dataset offers more accurate and consistent rainfall information over time and space.
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